Tickets for one of the key conferences #NIPS2018 were sold out in 15 minutes.
NIPS Conference Registrations 2002 thru 2019.
[2018] War erupts for tickets
[2019] AI researchers discover time travel.
#NIPS2018
[2018] War erupts for tickets
[2019] AI researchers discover time travel.
#NIPS2018
Upcoming spolitght at #NIPS2018 «Realistic Evaluation of Deep Semi-Supervised Learning Algorithms»
Link: https://arxiv.org/abs/1804.09170
Link: https://arxiv.org/abs/1804.09170
Paper «A Probabilistic U-Net for Segmentation of Ambiguous Images» from #NIPS2018 spotlight presentation.
Github: https://github.com/SimonKohl/probabilistic_unet
Github: Arxiv: https://arxiv.org/abs/1806.05034
#DeepMind #segmentation #cv
Github: https://github.com/SimonKohl/probabilistic_unet
Github: Arxiv: https://arxiv.org/abs/1806.05034
#DeepMind #segmentation #cv
GitHub
GitHub - SimonKohl/probabilistic_unet: A U-Net combined with a variational auto-encoder that is able to learn conditional distributions…
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations. - GitHub - SimonKohl/probabilistic_unet: A U-Net combined with a variat...
Reversible RNNs
Paper about how to reduce memory costs of GRU and LSTM networks by 10-15x without loss in performance. Also 5-10x for attention-based architectures. New paper with Matt MacKay, Paul Vicol, and Jimmy Ba, to appear at NIPS.
Link: https://arxiv.org/abs/1810.10999
#dl #RNN #NIPS2018
Paper about how to reduce memory costs of GRU and LSTM networks by 10-15x without loss in performance. Also 5-10x for attention-based architectures. New paper with Matt MacKay, Paul Vicol, and Jimmy Ba, to appear at NIPS.
Link: https://arxiv.org/abs/1810.10999
#dl #RNN #NIPS2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis
Paper will be presented at the ML4D workshop at #NIPS2018
Link: https://arxiv.org/abs/1811.03066
#nn #bio #medical
Paper will be presented at the ML4D workshop at #NIPS2018
Link: https://arxiv.org/abs/1811.03066
#nn #bio #medical
Deep Counterfactual Regret Minimization
Modification to the tabular CFR algorithm popular for games like poker to use deep learning function approximation.
ArXiV: https://arxiv.org/abs/1811.00164
#NIPS2018 #RL #GamesTheory
Modification to the tabular CFR algorithm popular for games like poker to use deep learning function approximation.
ArXiV: https://arxiv.org/abs/1811.00164
#NIPS2018 #RL #GamesTheory
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency
Baidu technology presented at #NIPS2018
Website: https://simultrans-demo.github.io
ArXiV: https://arxiv.org/abs/1810.08398
#NLP #translation #Baidu
Baidu technology presented at #NIPS2018
Website: https://simultrans-demo.github.io
ArXiV: https://arxiv.org/abs/1810.08398
#NLP #translation #Baidu
Papers from #DeepMind panel at #NIPS2018
Work on radiotherapy planning: https://arxiv.org/abs/1809.04430
Triaging eye diseases: https://www.nature.com/articles/s41591-018-0107-6
Probabilistic U-net: https://arxiv.org/abs/1806.05034
#segmentation #CV #Unet
Work on radiotherapy planning: https://arxiv.org/abs/1809.04430
Triaging eye diseases: https://www.nature.com/articles/s41591-018-0107-6
Probabilistic U-net: https://arxiv.org/abs/1806.05034
#segmentation #CV #Unet
One of the four best #NIPS2018 papers on new #ODEnet architecture, which can be used in #healthcare for predicting patient health.
Link: https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/
Link: https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/
MIT Technology Review
A radical new neural network design could overcome big challenges in AI
David Duvenaud was collaborating on a project involving medical data when he ran up against a major shortcoming in AI. An AI researcher at the University of Toronto, he wanted to build a deep-learning model that would predict a patient’s health over time.…